Aggregated Scanpath Dataset and Analysis Code (ETRA 2025)

This dataset and Jupyter notebook support the study "Aggregated Scanpath Analysis in Natural Settings. Comparison of Guided and Unguided Visual Attention over Architectural Artifacts", submitted to the ETRA 2025 conference. - `Date.xlsx` contains eye-tracking metrics per fixation transition for all participants and conditions.- `Code_all.ipynb` includes the full Python-based analysis pipeline: preprocessing, entropy calculation, K-coefficient dynamics, transition matrices, and aggregated scanpath visualizations. This record provides open access to the data and analysis workflow used in the publication. Contact: [e-mail]